Author

Matthias Becker

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Conference Open access Sep 2026

Temporal Graph Neural Network-Based Anomaly Detection in in-Vehicle CAN-Bus Sensor Data

Modern vehicles rely on Controller Area Network (CAN) communication, where detecting anomalies in multivariate sensor data is vital for safety and reliability. To capture diverse anomalies in multivariate time series, models must learn both temporal and spatial dependencies. Graph neural network (GNN)-based approaches...

Fatemeh Seyedin, Matthias Becker · IEEE International Conferenc... · 0 citations

Preprint Aug 2026

Social Behavior Among Autonomous AI: How Large Language Models Interact in Dynamic Networks

Examination of the interactions of AI using Large Language Models using Mistral, Llama3, Gemma3, and Phi3 in a public goods game within dynamic network structures offers a preliminary framework for LLM-based simulations in adaptive social networks.

Narges Fardnia, Fatemeh Seyedin, Matthias Becker et al. · 1 citation